Artificial intelligence of things for smarter healthcare: A survey of advancements, challenges, and opportunities

S Baker, W **ang - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …

Camera measurement of physiological vital signs

D McDuff - ACM Computing Surveys, 2023 - dl.acm.org
The need for remote tools for healthcare monitoring has never been more apparent. Camera
measurement of vital signs leverages imaging devices to compute physiological changes by …

BiLSTM multitask learning-based combined load forecasting considering the loads coupling relationship for multienergy system

Y Guo, Y Li, X Qiao, Z Zhang, W Zhou… - … on Smart Grid, 2022 - ieeexplore.ieee.org
Accurate load forecasting is the key to economic dispatch and efficient operation of Multi-
Energy System (MES). This paper proposes a combined load forecasting method for MES …

Learning motion-robust remote photoplethysmography through arbitrary resolution videos

J Li, Z Yu, J Shi - Proceedings of the AAAI Conference on Artificial …, 2023 - ojs.aaai.org
Remote photoplethysmography (rPPG) enables non-contact heart rate (HR) estimation from
facial videos which gives significant convenience compared with traditional contact-based …

Facial video-based remote physiological measurement via self-supervised learning

Z Yue, M Shi, S Ding - IEEE Transactions on Pattern Analysis …, 2023 - ieeexplore.ieee.org
Facial video-based remote physiological measurement aims to estimate remote
photoplethysmography (rPPG) signals from human facial videos and then measure multiple …

Remote photoplethysmography for heart rate measurement: A review

H **ao, T Liu, Y Sun, Y Li, S Zhao, A Avolio - Biomedical Signal Processing …, 2024 - Elsevier
Heart rate (HR) ranks among the most critical physiological indicators in the human body,
significantly illuminating an individual's state of physical health. Distinguished from …

MaskFusionNet: A dual-stream fusion model with masked pre-training mechanism for rPPG measurement

Y Zhang, J Shi, J Wang, Y Zong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Remote photoplethysmography (rPPG) has considerable significance in areas such as
disease diagnosis and emotion analysis. Recent rPPG models have demonstrated excellent …

Structure-aware deep networks and pixel-level generative adversarial training for single image super-resolution

W Shi, F Tao, Y Wen - IEEE Transactions on Instrumentation …, 2023 - ieeexplore.ieee.org
The resolution of current display devices is getting higher and higher, and 4K/8K display
devices have become popular, which require image super-resolution technologies to …

Tranphys: Spatiotemporal masked transformer steered remote photoplethysmography estimation

H Shao, L Luo, J Qian, S Chen, C Hu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Subtle variations are invisible to the naked eyes in human physiological signals can reflect
important biological and health indicators. Although numerous computer vision methods …

Toward Motion Robustness: A masked attention regularization framework in remote photoplethysmography

P Zhao, Q Sun, X Tian, Y Yang, S Tao… - Proceedings of the …, 2024 - openaccess.thecvf.com
There has been growing interest in facial video-based remote photoplethysmography
(rPPG) measurement recently with a focus on assessing various vital signs such as heart …